Assessing Students’ Object-Oriented Programming Skills with Java: The “Department-Employee” Project

Java is arguably today’s most popular and widely used object-oriented programming language. Learning Java is a daunting task for students, and teaching it is a challenging undertaking for instructors. To assess students’ object-oriented programming skills with Java, we developed the “Department-Employee” project. In this article, we review the history of object-oriented programming and provide an overview of object-oriented programming with Java. We also provide the project specification as well as the course background, grading rubric, and score reports. Survey data are presented on students’ backgrounds, as well as students’ perceptions regarding the project. Results from the instructor score reports and student perceptions show that the “Department-Employee” project was effective in assessing students’ object-oriented programming skills with Java

A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms.

Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing. Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in stroke research, lack accuracy and reliability. Manual segmentation remains the gold standard, but it is time-consuming, subjective, and requires neuroanatomical expertise. We previously released an open-source dataset of stroke T1w MRIs and manually-segmented lesion masks (ATLAS v1.2, N = 304) to encourage the development of better algorithms. However, many methods developed with ATLAS v1.2 report low accuracy, are not publicly accessible or are improperly validated, limiting their utility to the field. Here we present ATLAS v2.0 (N = 1271), a larger dataset of T1w MRIs and manually segmented lesion masks that includes training (n = 655), test (hidden masks, n = 300), and generalizability (hidden MRIs and masks, n = 316) datasets. Algorithm development using this larger sample should lead to more robust solutions; the hidden datasets allow for unbiased performance evaluation via segmentation challenges. We anticipate that ATLAS v2.0 will lead to improved algorithms, facilitating large-scale stroke research

Assessing the Effects of Responsible Leadership and Ethical Conflict on Behavioral Intention

[[abstract]]This study develops a research model that elaborates how responsible leadership and ethical conflict influence employees from the perspectives of role theory and attachment theory. Its empirical results reveal that turnover intention indirectly relates to ethical conflict and responsible leadership via the mediating mechanisms of organizational identification and organizational uncertainty. At the same time, helping intention indirectly relates to ethical conflict and responsible leadership only through organizational identification. Finally, the managerial implications for international business and research limitations based on the empirical results are discussed.[[notice]]補正完

Assessing Students’ Object-Oriented Programming Skills with Java: The “Department-Employee” Project

© 2018, © 2018 International Association for Computer Information Systems. Java is arguably today’s most popular and widely used object-oriented programming language. Learning Java is a daunting task for students, and teaching it is a challenging undertaking for instructors. To assess students’ object-oriented programming skills with Java, we developed the “Department-Employee” project. In this article, we review the history of object-oriented programming, provide an overview of object-oriented programming with Java, and present a summary of existing Java projects and their limitations. We also provide the project specifications as well as the course background, grading rubric, and score reports. Survey data are presented on students’ backgrounds, as well as students’ perceptions regarding the project. Results from the instructor score reports, correlation of the project score and the final course score, and student perceptions show that the “Department-Employee” project is effective in assessing students’ object-oriented programming skills with Java

Assessing Students’ Object-Oriented Programming Skills with Java: The “Department-Employee” Project

© 2018, © 2018 International Association for Computer Information Systems. Java is arguably today’s most popular and widely used object-oriented programming language. Learning Java is a daunting task for students, and teaching it is a challenging undertaking for instructors. To assess students’ object-oriented programming skills with Java, we developed the “Department-Employee” project. In this article, we review the history of object-oriented programming, provide an overview of object-oriented programming with Java, and present a summary of existing Java projects and their limitations. We also provide the project specifications as well as the course background, grading rubric, and score reports. Survey data are presented on students’ backgrounds, as well as students’ perceptions regarding the project. Results from the instructor score reports, correlation of the project score and the final course score, and student perceptions show that the “Department-Employee” project is effective in assessing students’ object-oriented programming skills with Java